Overview

Senior Machine Learning Engineer – Applied AI for Engineering

Competitive salary + equity

Excellent benefits (pension, healthcare, parental leave, learning budget, more)

The opportunity

This is a chance to join a deep-tech scale-up at the cutting edge of AI and simulation, working on problems that push the boundaries of engineering and design. The company blends numerical physics with state-of-the-art machine learning to accelerate innovation across industries like aerospace, energy, semiconductors, and automotive.

What you’ll be doing

• Leading the deployment of ML models into customer environments, including deep learning on simulation data, forecasting, anomaly detection, and optimisation.
• Building robust, scalable ML systems and pipelines in cloud and on-prem environments.
• Collaborating closely with customers and internal teams to scope projects, define success metrics, and ensure adoption.
• Translating research and prototypes into usable software and tools for engineers.
• Mentoring teammates, providing technical leadership, and helping shape product direction.
• Travelling internationally (~3–4 weeks per quarter) to embed with customers and deliver solutions hands-on.
• Equity options – share in the company’s growth.
• Private healthcare + enhanced parental leave.
• Personal development support – learning budget and training opportunities.
• Flexible hybrid working – modern Shoreditch office with free lunches.
• Work from anywhere allowance to combine travel with flexibility.
• A mission-driven team tackling some of the hardest problems in engineering with AI.

If you want to take on a senior role with real technical ownership, work alongside leading engineers and data scientists, and apply AI to reshape global industries, this could be the move for you.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Technology, Information and Media